Analysis Summary
Gemini 2.5 Pro Preview 05-06 is a multimodal Google model with a 1M-token context window and support for text, images, files, audio, and video. Its coding and live coding results are strong, while tool use and function calling support agentic workflows. The model also shows good instruction-following and long-context performance for professional content tasks.
It is well suited to codebase analysis, document-heavy research, multimodal briefs, complex SEO planning, and structured assistants that need external actions. The preview designation and high output price are practical considerations, particularly for large-scale content production. A cheaper model should handle routine transformations and high-volume copy.
Use it for demanding client work where broad input modality and deep context justify the premium.
Assessed August 9, 2026
Editorial notes
Gemini 2.5 Pro Preview pairs a million-token multimodal context with strong coding, tool use, and file, audio, and video handling. Its premium output pricing makes it better suited to high-value analysis and engineering than bulk generation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 2.5 Pro Preview pairs a million-token multimodal context with strong coding, tool use, and file, audio, and video handling. Its premium output pricing makes it better suited to high-value analysis and engineering than bulk generation.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
29.5 Intelligence Index
How Google: Gemini 2.5 Pro Preview 05-06 compares
Google: Gemini 2.5 Pro Preview 05-06 ranks #129 of 427 AI models we track for overall intelligence. Its 1M-token context window is larger than 95% of the models we list. At $1.25 per million input tokens it is cheaper than 23% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on content. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.25 | $0.001250 |
| Output | $10.00 | $0.010000 |
What would Google: Gemini 2.5 Pro Preview 05-06 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 714 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 2.5 Pro Preview 05-06 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 2.5 Pro Preview 05-06
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy..
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Frequently asked questions about Google: Gemini 2.5 Pro Preview 05-06
How much does Google: Gemini 2.5 Pro Preview 05-06 cost?
Google: Gemini 2.5 Pro Preview 05-06 costs $1.25 per million input tokens and $10.00 per million output tokens.
What is the context window of Google: Gemini 2.5 Pro Preview 05-06?
Google: Gemini 2.5 Pro Preview 05-06 has a context window of 1,048,576 tokens (1M).
What can Google: Gemini 2.5 Pro Preview 05-06 do?
Google: Gemini 2.5 Pro Preview 05-06 supports image/vision input, tool use, and function calling.
Who created Google: Gemini 2.5 Pro Preview 05-06?
Google: Gemini 2.5 Pro Preview 05-06 is developed by Google and was released on May 7, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 22, 2026 8:38 pm